Geometrically accurate time series of archived aerial images and airborne lidar data in a forest environment

Abstract

Careers of Managers, Comparison between ICT and Paper Business Sectors

The purpose of this study is to increase understanding of how the managers build their early career in information and communication technology industry (ICT business sector) and pulp- and paper industry (paper business sector). The focus of the study is to explore the importance differing a business sectors have in influencing managerial careers. Business sectors can affect careers in several ways.Sectors have different history and traditions. Also the age structure of ICT personnel differs from the age structure of personnel in the paper industry. Managers in the ICT and paper sector are technically educated but in different disciplines. Differences exist also in ways of recruiting and developing commitment inpersonnel. The target group of this research, middle management engineering personnel, work in Finnish ICT and paper companies. Research data were gathered in April-December 2002 in South-Karelia by interviewing 30 managers and six directors working in three Finnish ICT companies and in three paper companies. The research issue is approached on two levels: the individual level and the organizational level. The managers related their career stories in focused interviews. Directors, representing the organizations, described the generalities of the business sector and gave background information on company policies, human relationshippractices, as well as career and human resource development. Results of the study contribute to research discussions of career, life-span reasoning, socialization and commitment. Career is conceived as a series of positions including everykind of hierarchical mobility and all kinds of positions in work. A manager's career develops in interaction with the organization and it can be seen as involving a socializing process in an organization as a consequence of experiences andchanges in positions. This research contributes to the understanding of the nature of career in the context of two business sectors. Universal career theories,for the most part, do not perceive the importance of business sector in determining career experience. This study concentrates on describing and understanding early careers in two different business areas, elements committing managers to particular business sectors and the actions of companies in that particular sector. While career research began in the middle of 1950s, the theoretical basis of career research seems to be quite fragmented still. However, a dichotomy is consistently presented between traditional, hierarchical career research and boundaryless career thinking. In this research we examine how these old and new career concepts are evidence in the ICT and paper sectors. Careers are changing from formal, hierarchy-based structures to more fluid arrangements. The new boundaryless career concept captures territory from old career thinking. Mobility between employers, networks, and changing hierarchical structures in organizations, as well as personal and family reasons are theorized to bring changes to careers patterns in the future. However, the pace of this change in careers will vary between the ICT and paper business sectors. Findings of this research indicate that business sector has an effect on how managerial careers develop. The environment where career is developed differs between ICT and paper sectors. Careers begin differently in the two environments and the speed of career progression is distinct. ICT careers are built within the business sector whereas paper careers are made inside one company. Also recruiting and socialization practices differ from one sector to the other.

Studies on coordination of systems development process

This thesis examines coordination of systems development process in a contemporary software producing organization. The thesis consists of a series of empirical studies in which the actions, conceptions and artifacts of practitioners are analyzed using a theory-building case study research approach. The three phases of the thesis provide empirical observations on different aspects of systemsdevelopment. In the first phase is examined the role of architecture in coordination and cost estimation in multi-site environment. The second phase involves two studies on the evolving requirement understanding process and how to measure this process. The third phase summarizes the first two phases and concentrates on the role of methods and how practitioners work with them. All the phases provide evidence that current systems development method approaches are too naïve in looking at the complexity of the real world. In practice, development is influenced by opportunity and other contingent factors. The systems development processis not coordinated using phases and tasks defined in methods providing universal mechanism for managing this process like most of the method approaches assume.Instead, the studies suggest that managing systems development process happens through coordinating development activities using methods as tools. These studies contribute to the systems development methods by emphasizing the support of communication and collaboration between systems development participants. Methods should not describe the development activities and phases in a detail level, butshould include the higher level guidance for practitioners on how to act in different systems development environments.

Standardisation process of Universal Mobile Telecommunication System in Third Generation Partnership Project

Third Generation Partnership Project (3GPP) on organisaatio, joka määrittelee ja ylläpitää kolmannen sukupolven matkapuhelinverkon standardeja. Organisaatio luotiin monien eri standardointielinten toimesta havaittaessa, ettei maailmanlaajuista kolmannen sukupolven matkapuhelinteknologiaa voitaisi määritellä ilman laajaa yhteistyötä. 3GPP:ssä standardointityö on jakautunut usealle tekniselle määrittelyryhmälle. Jokaisen ryhmän tehtävänä on kehittää määrittelyjä ja raportteja omalla vastuualueellaan. 3GPP:ssä määrittelytyötä tehdään samanaikaisesti teknillisten määrittelyryhmien välillä. Tämä vaatii tiukkoja sääntöjä määrittelyjen luonti-, hyväksyntä- ja ylläpitotehtäviin. Vain siten on mahdollista hallita määrittelyihin tulevia muutoksia ja tarvittavaa kokonaistyömäärää. Tämä diplomityö kuvaa 3GPP:n määrittelemän UMTS-teknologian. Työssä keskitytään tarkemmin 3GPP-organisaation rakenteeseen, määritysten tekemiseen ja työskentelytapoihin. Tämä diplomityö osoittaa millainen organisaatio ja säännöt vaaditaan maailmanlaajuisen matkapuhelinjärjestelmän kehittämiseen.

Integrating Socket Server to the Workstation Environment of Series 40 Platform

Shortening development times of mobile phones are also accelerating the development times of mobile phone software. New features and software components should be partially implemented and tested before the actual hardware is ready. This brings challenges to software development and testing environments, especially on the user interface side. New features should be able to be tested in an environment, which has a look and feel like a real phone. Simulation environments are used to model real mobile phones. This makes possible to execute software in a mobile phone that does not yet exist. The purpose of this thesis is to integrate Socket Server software component to Series 40 simulation environments on Linux and Windows platforms. Socket Server provides TCP/IP connectivity for applications. All other software and hardware components below Socket Server do not exist in simulation environments. The scope of this work is to clarify how that can be done without connectivity problems, including design, implementation and testing phases.

Analysis of patterns in mining time series using Qlucore

Raw measurement data does not always immediately convey useful information, but applying mathematical statistical analysis tools into measurement data can improve the situation. Data analysis can offer benefits like acquiring meaningful insight from the dataset, basing critical decisions on the findings, and ruling out human bias through proper statistical treatment. In this thesis we analyze data from an industrial mineral processing plant with the aim of studying the possibility of forecasting the quality of the final product, given by one variable, with a model based on the other variables. For the study mathematical tools like Qlucore Omics Explorer (QOE) and Sparse Bayesian regression (SB) are used. Later on, linear regression is used to build a model based on a subset of variables that seem to have most significant weights in the SB model. The results obtained from QOE show that the variable representing the desired final product does not correlate with other variables. For SB and linear regression, the results show that both SB and linear regression models built on 1-day averaged data seriously underestimate the variance of true data, whereas the two models built on 1-month averaged data are reliable and able to explain a larger proportion of variability in the available data, making them suitable for prediction purposes. However, it is concluded that no single model can fit well the whole available dataset and therefore, it is proposed for future work to make piecewise non linear regression models if the same available dataset is used, or the plant to provide another dataset that should be collected in a more systematic fashion than the present data for further analysis.

MCMC Analysis Of Classical Time Series Algorithms

Identification of order of an Autoregressive Moving Average Model (ARMA) by the usual graphical method is subjective. Hence, there is a need of developing a technique to identify the order without employing the graphical investigation of series autocorrelations. To avoid subjectivity, this thesis focuses on determining the order of the Autoregressive Moving Average Model using Reversible Jump Markov Chain Monte Carlo (RJMCMC). The RJMCMC selects the model from a set of the models suggested by better fitting, standard deviation errors and the frequency of accepted data. Together with deep analysis of the classical Box-Jenkins modeling methodology the integration with MCMC algorithms has been focused through parameter estimation and model fitting of ARMA models. This helps to verify how well the MCMC algorithms can treat the ARMA models, by comparing the results with graphical method. It has been seen that the MCMC produced better results than the classical time series approach.

Protestant Churches and the making of the Universal Declaration of Human Rights

Kirjallisuusarvostelu

Regime Switching Models for Electricity Time Series that Capture Fat Tailed Distributions

In the power market, electricity prices play an important role at the economic level. The behavior of a price trend usually known as a structural break may change over time in terms of its mean value, its volatility, or it may change for a period of time before reverting back to its original behavior or switching to another style of behavior, and the latter is typically termed a regime shift or regime switch. Our task in this thesis is to develop an electricity price time series model that captures fat tailed distributions which can explain this behavior and analyze it for better understanding. For NordPool data used, the obtained Markov Regime-Switching model operates on two regimes: regular and non-regular. Three criteria have been considered price difference criterion, capacity/flow difference criterion and spikes in Finland criterion. The suitability of GARCH modeling to simulate multi-regime modeling is also studied.

Analysis of Patterns in Electricity Spot Market Time Series

Due to its non-storability, electricity must be produced at the same time that it is consumed, as a result prices are determined on an hourly basis and thus analysis becomes more challenging. Moreover, the seasonal fluctuations in demand and supply lead to a seasonal behavior of electricity spot prices. The purpose of this thesis is to seek and remove all causal effects from electricity spot prices and remain with pure prices for modeling purposes. To achieve this we use Qlucore Omics Explorer (QOE) for the visualization and the exploration of the data set and Time Series Decomposition method to estimate and extract the deterministic components from the series. To obtain the target series we use regression based on the background variables (water reservoir and temperature). The result obtained is three price series (for Sweden, Norway and System prices) with no apparent pattern.

A tour through Sweden, Swedish-Lapland, Finland and Denmark. In a series of letters, illustrated with engravings : by Matthew Consett, esq.

P. 143-158 are misnumbered 142-157.

Mannesmann-Mulag-universal kippvagn muk

kuv., 24 x 16 cm

Nash Standard Six series

kuv., 24 x 18 cm